Name
Title | ||
|---|---|---|
Automated Diagnosis Of Brain Tumours Astrocytomas Using Probabilistic Neural Network Clustering And Support Vector Machines |
Abstract | ||
|---|---|---|
A computer-aided diagnosis system was developed for assisting brain astrocytomas malignancy grading. Microscopy images from 140 astrocytic biopsies were digitized and cell nuclei were automatically segmented using a Probabilistic Neural Network pixel-based clustering algorithm. A decision tree classification scheme was constructed to discriminate low, intermediate and high-grade tumours by analyzing nuclear features extracted from segmented. nuclei with a Support Vector Machine classifier. Nuclei were segmented with an average accuracy of 86.5%. Low, intermediate, and high-grade tumours were identified with 95%, 88.3%, and 91% accuracies respectively. The proposed algorithm could be used as a second opinion tool for the histopathologists. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1142/S0129065705000013 | INTERNATIONAL JOURNAL OF NEURAL SYSTEMS |
Keywords | Field | DocType |
Probabilistic Neural Network, Support Vector Machines, microscopy, astrocytomas, grading | Decision tree,Pattern recognition,Support vector machine classifier,Computer science,Classification scheme,Support vector machine,Probabilistic neural network,Artificial intelligence,Pixel,Cluster analysis,Machine learning | Journal |
Volume | Issue | ISSN |
15 | 1-2 | 0129-0657 |
Citations | PageRank | References |
14 | 1.41 | 14 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dimitris Glotsos | 1 | 139 | 12.43 |
| Jussi Tohka | 2 | 429 | 35.95 |
| Panagiota Ravazoula | 3 | 152 | 12.25 |
| Dionisis Cavouras | 4 | 224 | 22.08 |
| George Nikiforidis | 5 | 225 | 21.70 |